MétaCan
Menu
Back to cohort

Legalizing Youth-Friendly Cannabis Edibles and Extracts and Adolescent Cannabis Use

2025· article· en· W4409582206 on OpenAlexaffabout
Shweta Mital, Hai V. Nguyen

Bibliographic record

VenueJAMA Network Open · 2025
Typearticle
Languageen
FieldMedicine
TopicCannabis and Cannabinoid Research
Canadian institutionsMemorial University of NewfoundlandUniversity of Manitoba
Fundersnot available
KeywordsCannabisLegalizationEnvironmental healthMedicineHarmPsychologyPsychiatrySocial psychology

Abstract

fetched live from OpenAlex

Importance: A year after dried cannabis was legalized across Canada in October 2018, Canadian provinces except Quebec legalized sales of cannabis edibles and extracts, including youth-friendly edibles such as cannabis chocolates, candies, and desserts and cannabis vaping products. Little is known about the association of this legalization with adolescent cannabis use. Objective: To investigate changes in adolescent cannabis use and cannabis harm perceptions associated with the legalization of youth-friendly cannabis edibles and extracts in Canada. Design, Setting, and Participants: This serial cross-sectional study analyzed data from students in grades 7 to 11 who participated in the nationally representative Canadian Student Tobacco Alcohol and Drugs Surveys in 2018 to 2019 and 2021 to 2022. A differences-in-differences design compared changes in outcomes in provinces that legalized cannabis edibles and extracts with changes in Quebec where youth-friendly cannabis edibles and cannabis vaping products were banned. Data were analyzed from June 2024 to January 2025. Exposure: Legalization of youth-friendly cannabis edibles and extracts across provinces in Canada (except Quebec) in October 2019. Main Outcomes and Measures: The primary outcomes were cannabis use in the past 12 months, past 12-month use of edible cannabis use, cannabis smoking, cannabis vaping, and co-use of alcohol and cannabis. Secondary outcomes were perception of harm from occasional and regular cannabis use. Results: In the study sample of 106 032 students in grades 7 to 11 (54 441 male [weighted percentage, 51.3%]), between 2018 to 2019 and 2021 to 2022, past 12-month cannabis use increased from 14.6% (6081 of 41 477 students) to 15.9% (6163 of 38 675 students) and use of edible cannabis increased from 7.9% (3268 of 41 373 students) to 9.5% (3678 of 38 556 students) in provinces that legalized youth-friendly cannabis edibles and extracts. Meanwhile, past 12-month cannabis use declined from 17.4% (2264 of 13 030 students) to 15.6% (1960 of 12 550 students) and use of edible cannabis declined from 7.3% (955 of 13 002 students) to 5.9% (739 of 12 533 students) in Quebec. Regression analyses indicated that the legalization was associated with a 3.8 percentage point (95% CI, 1.1 to 6.6 percentage points; P = .01) or 26% increase in past 12-month cannabis use and a 3.4 percentage point (95% CI, 1.9 to 4.9 percentage points; P = .001) or 43% increase in use of cannabis edibles among adolescents. While there was no statistically significant change in cannabis vaping associated with the legalization, cannabis smoking increased by 4.4 percentage points (95% CI, 1.8 to 7.0 percentage points; P = .004) or 34% and co-use of alcohol and cannabis increased by 2.4 percentage points (95% CI, 0.5 to 4.3 percentage points; P = .02) or 28%. The legalization was also associated with a lower perception of harm from occasional cannabis use. Conclusions and Relevance: In this serial cross-sectional study of adolescents in grades 7 to 11, legalization of cannabis edibles and extracts was associated with an increase not only in edible cannabis use and cannabis smoking, but also in the overall prevalence of cannabis use and co-use of alcohol and cannabis, highlighting the need for stricter policy measures to curb adolescents' access to cannabis edibles and extracts and greater awareness among adolescents about harms of cannabis use.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.290
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.037
GPT teacher head0.328
Teacher spread0.291 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueJAMA Network OpenSame topicCannabis and Cannabinoid ResearchFrench-language works237,207